Consumer Insight Analyst Jobs in Oregon (NOW HIRING)

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

What we need

As the Senior Talent Insight Analyst you will be hands-on, detail-oriented lead, advancing Symbotic'send-to-endpeople'sanalytics, employee listening, and workforce intelligence ecosystem,leveragingAI and advanced analyticsto drive actionable business insights.

You will bring deep expertisein statistical analysis, psychometrics, and workforce analytics with emergingAI and machine learning capabilitiesto transform how the organization understands, predicts, and acts on workforce trends. The Talent Analytics & AI Lead will play a critical role in buildingAI-enabled decision systems, advancing theHR data lake on Google Cloud Platform (GCP), and scaling insight generation across HR and the enterprise. The position reports to the Director, Talent Analytics & HR Transformation

What we do

The Human Resources organization is responsible for recruitment, administration, compensation, benefits, training & development, performance management, and employee relations.

What you'll do

EmployeeListening & 360 Assessment Programs

• InstrumentDesign:Design enterprise-wide survey, listening, and assessment strategies, incorporating psychometric rigor (validity, reliability, scale construction) whileleveragingAI to enhance insight depth and speed.

• Program Management:Lead end-to-end survey andassessmentofprogram administration, fromvendor coordination to report interpretation.

• Subject Matter Expertise:Continuously evaluate and recommendmodern listening technologies and AI capabilitiesaligned to organizational maturity and needs.

Workforce Analytics & Predictive Modeling

• Reporting:Deliver standardized reporting on workforce metrics (headcount, movement, attrition, recruiting pipelines).

• Forecasting & Modeling:Build flight-risk and predictive turnover models; partner with Finance on workforce capacity and budget planning.Design AI-enabled dashboards and tools that proactively surface insights, risks, and recommendations (not just report metrics).

• Data Integration:Connect survey, assessment, and HRIS data to map engagement drivers and retention risks.

• Success Metrics:Measure and track the impact of talent initiatives; provide data-driven recommendations for continuous improvement.

Data Lake Stewardship & Governance

• Engineering Partner:Partner with Cloud Engineering on the GCP HR data lake to define metrics, requirements, and use cases.

• Data Quality & Security:Uphold strict data privacy, security, and ethical AI practices, includingappropriate PIIprotection and access controls.Ensurehigh standardsof data quality, integrity, and validation across all data pipelines.

Consultative Storytelling &Business DecisionEnablement

• Executive Insights:Translatebusiness questions intoappropriateanalyticalmethods,synthesizecomplex data into clear, actionable narratives and dashboards for executive leaders.Leverage AI tools to accelerate insight generation and scale access to workforce intelligence across HR and business leaders.

• HR& Business LeaderEnablement:Enableself-service and AI-assisted insights, improving decision quality and speed.Act as a trusted advisor to HR and business leaders, embedding analytics andAI intocore decision-making processes.

What you'll need

Education & Experience

• Education:Bachelor's degreerequired;Master'sor higher inIndustrial/Organizational (I/O) Psychology(or related field with statisticscurriculum).

• Experience:Minimum 5 years inpeople'sanalytics or a corporate HR/Talentdata role (graduate studies/internships count).Demonstrated experience applying advanced analytics and/or AI techniques to business problems.

Technical Skills

• Languages:StrongproficiencyinSQLand eitherPythonorR.

• Data Platforms:Working knowledge of Cloud Data Platforms (GCP preferred, AWS/Azure acceptable) to write queries andvalidatedata.

• Visualization:ProficiencyinTableau,Looker, or equivalent BI tools.

• Methodologies:Expertisein psychometrics, sampling design, descriptive/inferential statistics, and regression.Experience with machine learning, predictive modeling, and/or NLP techniques.

Key Competencies

• Exceptional attention to detail, project management, and data integrity.

• Strong consultativeand critical thinkingskills-ability to turn ambiguous business problems into structured analytics.

• Excellent interpersonal and communication skills across technical and non-technical teams.

Our Environment

• Up to 10% of travel may berequired. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

• The employeeis responsible forowning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

• Remote Opportunity

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About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visitwww.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.